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Journals
Agriculture
Special Issues
Fruit Germplasm Resource Conservation and Breeding
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Fruit Germplasm Resource Conservation and Breeding

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Genetics, Genomics and Breeding".

Deadline for manuscript submissions: closed (15 May 2025) | Viewed by 678

Special Issue Editors

Dr. Zhike Zhang

E-Mail Website
Guest Editor
College of Horticulture, South China Agricultural University, Guangzhou 510640, China
Interests: fruit tree; germplasm; breeding; biotechnology; fruit quality improvement
Prof. Dr. Xianghui Yang

E-Mail Website
Guest Editor
College of Horticulture, South China Agricultural University, Guangzhou 510640, China
Interests: loquat; breeding; germplasm; blooming regulation; fruit quality

Special Issue Information

Dear Colleagues,

Germplasm resource conservation and breeding are very important for fruit germplasm innovation and bio-industry development. The collection, creation, evaluation, and utilization of the fruit germplasm are essential for breeding.

Aim and scope of the Special Issue: This Special Issue is mainly focused on exploring methods and techniques from molecular biology for use in breeding and traditional germplasm resource conservation and breeding. Scope： (1) The assessment of genetic diversity and the mining and utilization of elite genes in the fruit germplasm; (2) the molecular genetic analysis of important fruit quality and economic traits related to stress resistance in fruit trees; (3) the establishment and application of transgenic technology systems with high efficiency in fruit trees; (4) the breeding and application of innovative and excellent fruit cultivars.

We welcome submissions on the following topics:

  1. The evaluation of genetic diversity and reconstruction of phylogeny in fruit trees;
  2. Fruit germplasm creation, such as ploidy breeding;
  3. The exploration of elite genes associated with important economic traits;
  4. The development of MAS breeding techniques, especially those related to the selection of cross parents and the early selection of progeny;
  5. The establishment and application of genetic transformation systems in gene functional research, to provide an academic basis for genetic improvement.

Dr. Zhike Zhang
Prof. Dr. Xianghui Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fruit germplasm
  • conservation
  • breeding
  • fruit quality
  • genetic transformation

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Published Papers (1 paper)

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Research

20 pages, 7596 KiB  
Article
A Japanese Plum Breeding Core Collection Capturing and Exploiting Genetic Variation
by María Osorio, Sebastián Ahumada, Rodrigo Infante, Igor Pacheco, Arnau Fiol and Paulina Ballesta
Agriculture 2025, 15(13), 1369; https://doi.org/10.3390/agriculture15131369 - 26 Jun 2025
Viewed by 178
Abstract
The optimal exploitation of genetic variability is essential for the success of breeding programs and for identifying quantitative trait loci (QTLs) in genetic association studies. These benefit from populations with a high number of individuals; however, they are expensive since extensive plant maintenance, [...] Read more.
The optimal exploitation of genetic variability is essential for the success of breeding programs and for identifying quantitative trait loci (QTLs) in genetic association studies. These benefit from populations with a high number of individuals; however, they are expensive since extensive plant maintenance, characterization, and evaluation are required. Core collections offer a practical solution by reducing the number of individuals while representing the original diversity of the population. This study aimed to construct a core collection for Japanese plum to serve as pre-breeding material and enable genetic association studies for traits that are difficult to evaluate. Starting from a population of 1062 individuals genotyped by sequencing, genetic distance and allele coverage metrics were applied to construct several core collections. Genetic parameters and phenotype distribution comparisons allowed for the selection of a core collection of 108 individuals that maximized genetic variability while representative of the original population, confirmed by linkage disequilibrium and population structure analyses. Its usefulness was validated by successfully mapping flowering and maturity dates through marker–trait association. The core collection constructed here will help in the study of fruit quality traits and biotic and abiotic responses, ultimately generating molecular markers to assist the crop’s molecular breeding. Full article
(This article belongs to the Special Issue Fruit Germplasm Resource Conservation and Breeding)
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